Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
About the role
- Data Engineer building scalable pipelines and AI-powered automation for ODAIA’s life sciences SaaS platform. Integrating healthcare data through AWS, Snowflake, Python, dbt, Veeva, and Salesforce.
Responsibilities
- Build scalable data infrastructure supporting customer onboarding and implementation
- Design and ship Claude-powered tools to automate production incident error triage and fix proposals
- Develop automation tools for configuring and ingesting new customer datasets
- Define, prototype, and implement end-to-end data solutions for complex data challenges
- Advise internal teams and customers on data integration, architecture, and management best practices
- Implement scalable ingestion pipelines using AWS tools and services
- Develop integrations with Veeva, Salesforce, and other third-party data sources
- Contribute to proof-of-concept builds and internal applications
- Design APIs and data models for internal data access and cross-system interoperability
- Explore and onboard new data sources
- Design warehouse schemas to improve analytics and product capabilities
- Collaborate with product and engineering teams to align data systems with strategic objectives
Requirements
- 3+ years of experience in data engineering and production-grade data pipelines
- Strong experience with AWS, including ECS, S3, Lambda, DynamoDB, and API Gateway
- Experience with Snowflake
- Experience with Dagster or Airflow for orchestration and workflow management
- Strong programming proficiency in Python
- Experience building and optimizing complex data models with dbt
- Strong understanding of ETL processes
- Solid understanding of data structures, algorithms, and database design
- Expertise in performant SQL schema and query development
- Familiarity with CI/CD and test-driven development in a production environment
- Experience integrating CRM systems such as Veeva and Salesforce
- Experience handling healthcare, pharmaceutical, or pharmacy-related datasets is a strong asset
- Demonstrated experience with the AWS stack or an equivalent cloud platform
- Background modernizing data environments and migrating legacy systems to cloud-native architectures
- Ability to manage projects independently, prioritize effectively, and adapt to changing business needs
- Excellent communication skills for translating complex technical concepts to technical and non-technical stakeholders
Benefits
- Meaningful stock option grants
- Immediate medical/dental enrollment
- Flexible time off
- Work-from-home flexibility
- Intentional, high-value in-person collaboration and socials
- Career development opportunities
- Values-based culture
- AI-native environment using AI and agentic automation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Engineer building scalable pipelines for SumerSports’ football intelligence platform. Supporting deep learning, video, LLM, analytics, and AI - driven products across sports.
Data Platform Engineer building ingestion pipelines, storage, governance, and observability systems for Movable Ink’s AI - driven marketing personalization platform. Supporting scalable, secure, multi - tenant data services.
Senior Data Engineer building AWS ETL/ELT pipelines and dbt models for Tango’s cloud real - estate and facilities SaaS. Managing databases, data quality, warehousing, and observability.
Senior Data Engineer building AWS and dbt data pipelines for Tango’s cloud real - estate and facilities SaaS platform. Managing databases, warehouses, data quality, and analytics - ready datasets.
Data Engineer building streaming pipelines and analytical databases for Movable Ink’s data - activated marketing personalization platform. Developing Elixir/Python services and reliable event - data products at billions - event scale.
LP
Senior Data Engineer
LinkedIn Recruiter Post
Senior Data Engineer needed for a 1 - year contract with an asset management client in Toronto. Requires 7+ years of experience, Snowflake, Python, SQL, and cloud platform expertise.
Senior Data Engineer owning finance data pipelines and models for Instacart, a grocery delivery platform. Supporting accounting, billing, revenue, and financial reporting at scale.
Senior AI Data Engineer building production AI systems and marketing data infrastructure for Samsara’s connected - operations IoT platform. Automating workflows and enabling data - driven decisions.
Senior Data Engineer modernizing Alberta government regulatory data platforms. Building governed Azure pipelines, models, APIs, and analytics - ready datasets for DRAS.